Chapter 1 : Intro to Seaborn


image.png

image.png

image.png

Note: Seaborn works well with pandas DataFrame but only when the data is TIDY. (TIDY: Each observation has its own row and Each variable has its own column)

image.png

image.png

image.png

Chapter 2 - (Visualizing two quantitative variables)


Plots that Describe relationships are called Relational Plots ( relplot() )

image.png image.png image.png image.png image.png

Sometimes number of plots in a column or row might be too large and less efficient to visualize, so we can wrap them

image.png image.png image.png image.png image.png

We can Make this better by adding HUE as well

image.png

image.png

Useful for Many Overlapping points

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

Chapter 3 - (Visualizing a categorical and Quantitative Variable)


image.png

image.png

image.png

image.png

image.png

image.png


image.png

image.png

image.png

image.png

image.png


image.png

image.png

image.png

image.png

image.png

image.png

CHANGING the ESTIMATOR

image.png

image.png

image.png

image.png

Chapter 4 (Changing the Visual style of plots)


image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

image.png

This will add title to the figure as a whole, because this is a FacetGrid object method.

image.png

image.png

image.png

image.png